高速铁路动态定价与票额分配协同优化研究

目前我国高速铁路票价制定还比较缺乏灵活的市场化机制,严重影响铁路运输企业收益和服务水平的提高。基于高速铁路旅客出行规律和收益管理策略,研究高速铁路动态定价与票额分配协同优化方法。在分析旅客出行价格需求弹性的基础上,构建基于Logit模型的客流弹性函数,考虑临近发车客票不涨价和运输能力等约束,建立以期望客票总收入最大化为目标的优化模型,设计一种基于超分方程的分步算法,求解不同时段下不同列车的最优票价与票额分配方案。以京沪高速铁路为例进行计算和分析,与固定费率票价相比,动态票价策略能保证服务水平,系统总客流需求下降0.73%,企业客票总收益提高4.95%。     

基于IP网络的分布式铁路信息系统技术研究

提出了基于IP网络的铁路网络信息系统构架和关键部分技术解决方案。该系统基于分布式的构架模式，可以提供较高的系统可靠性。嵌入式计算机分布于各个车站，用于管理车站的系统设备（显示器、广播设备等）。     

基于TCP/IP拥塞控制的算法研究

在WPAN上使用TCP的关键在于拥塞控制，根据TCP的拥塞控制机制，通过分析拥塞控制的闭环控制原理、TCP／IP拥塞控制所使用的典型技术，研究TCP／IP拥塞控制在无线网上应用的算法。     

局域光纤IP电话的性能研究

提出并分析了基于光纤网络的IP电话系统，针对IP电话网中的时延，抖动，数据包丢失等关键问题分别进行分析。找出了取消网关，路由器和采用光纤化等解决方法，比较基于H．232协议的IP电话与基于SIP协议的光纤IP电话系统，发现利用光纤网能很好补偿时延和改善数据包丢失等问题，提高系统的抗干扰能力，使IP电话系统的性能得到很大提高，采用排队论进行了流量分析，证明以上方法是有效的。     

基于IMS架构的多媒体调度指挥系统

IMS(IP多媒体子系统)能够实现对固定接入和移动接入的统一控制,是下一代网络控制技术的核心。为此,介绍基于IMS架构的多媒体调度指挥系统的组成、结构、通信协议、系统功能及应用。     

技术站广义配流问题模型与算法

根据列车解编顺序是否确定,将阶段计划中的广义配流问题分为广义静态配流问题和广义动态配流问题。以阶段内发出配流车数最多和车辆在站平均停留时间最短为目标函数,以列车解体开始时刻、车流分配、车流接续和列车编组开始时刻为约束条件,建立广义动态配流问题的多目标非线性混合整数规划模型。综合考虑优先排空、优先发送较近编组去向车流,模拟车站调度员编制阶段计划时的思维过程,设计搜索算法,解决广义静态配流问题(给定列车解编顺序的广义动态配流问题)。以有7个编组去向的某技术站为例,运用该算法可以在较短时间内得到列车解编方案和配流方案,表明了该算法的实用性和可行性。     

土石方调配问题双层规划模型及算法研究

研究目的:针对铁路土石方工程中较少考虑对生态环境影响的现状,研究如何构建合理的土石方调配问题模型,实现铁路土石方工程与生态环境的有效协调,减少对生态环境的影响的同时,从而实现土石方工程系统最优的目标。研究结论:根据土石方工程具体特点,系统地描述土石方调配问题,在此基础上兼顾政府监管部门与施工企业双方不同的利益目标,建立土石方调配问题双层规划模型。在双层规划模型中,上层模型为土石方工程系统最优模型,下层模型为土石方调配费用最低模型。计算结果表明:土石方调配问题双层规划模型在减少对保护生态环境影响同时,降低工程建设成本。     

高速公路紧急电话系统在IP环境下实时语音远程传输的实现

本文讨论了高速公路紧急电话系统在IP环境下实时语音远程传输的实现,从而为紧急电话系统实时语音远程传输提供了一种可靠的解决方法.     

Storage space allocation in container terminals

Container terminals are essential intermodal interfaces in the global transportation network. Efficient container handling at terminals is important in reducing transportation costs and keeping shipping schedules. In this paper, we study the storage space allocation problem in the storage yards of terminals. This problem is related to all the resources in terminal operations, including quay cranes, yard cranes, storage space, and internal trucks. We solve the problem using a rolling-horizon approach. For each planning horizon, the problem is decomposed into two levels and each level is formulated as a mathematical programming model. At the first level, the total number of containers to be placed in each storage block in each time period of the planning horizon is set to balance two types of workloads among blocks. The second level determines the number of containers associated with each vessel that constitutes the total number of containers in each block in each period, in order to minimize the total distance to transport the containers between their storage blocks and the vessel berthing locations. Numerical runs show that with short computation time the method significantly reduces the workload imbalance in the yard, avoiding possible bottlenecks in terminal operations.     

An optimization framework for workplace charging strategies

The workplace charging (WPC) has been recently recognized as the most important secondary charging point next to residential charging for plug-in electric vehicles (PEVs). The current WPC practice is spontaneous and grants every PEV a designated charger, which may not be practical or economic when there are a large number of PEVs present at workplace. This study is the first research undertaken that develops an optimization framework for WPC strategies to satisfy all charging demand while explicitly addressing different eligible levels of charging technology and employees’ demographic distributions. The optimization model is to minimize the lifetime cost of equipment, installations, and operations, and is formulated as an integer program. We demonstrate the applicability of the model using numerical examples based on national average data. The results indicate that the proposed optimization model can reduce the total cost of running a WPC system by up to 70% compared to the current practice. The WPC strategies are sensitive to the time windows and installation costs, and dominated by the PEV population size. The WPC has also been identified as an alternative sustainable transportation program to the public transit subsidy programs for both economic and environmental advantages.